Eating the book "Python Deep Learning" together is more effective than gnawing a book, an introduction to artificial intelligence in-depth learning for beginners (with video, source code, and Chinese and English books)

Super Plus enjoy! The editor finally remembered the password, hahahahahahahahaha

 Tangled for a long time! I finally remembered the bottom of my press box

I'll give you a big bonus as soon as you come

What I share with you this time is the classic book "Python Deep Learning"

"Python Deep Learning" is a computer network book published by the People's Posts and Telecommunications Press in August 2009. This book is written by Francois Cholet, the father of Keras.Edited by François Chollet and translated by Zhang Liang.

Pages: 320

Pricing: 119.00 yuan

There should be few people buying more than one hundred books, but the editor can buy the Chinese and English e-books of this book for free~

really fragrant~

 Let me introduce this book once again

1. This book is written by François Chollet, the father of Keras and current Google artificial intelligence researcher. It introduces in detail the exploration practice of deep learning with Python and Keras, involving computer vision, natural language processing, applications such as generative models.

2. The book contains more than 30 code examples, and the steps are explained in detail.

3. Since this book is based on the accessibility and popularization of artificial intelligence, readers do not need to have background knowledge related to machine learning to read it.

4. After studying this book, readers will have the ability to build their own deep learning environment, build image recognition models, and generate images and text.

【About the Author】

[US] François Chollet,

The father of Keras, a contributor to the TensorFlow machine learning framework, a Kaggle competition coach, and once ranked 17th in the global ranking of his personal Kaggle competition. Currently working at Google, engaged in artificial intelligence research, especially focusing on the application of computer vision and machine learning in formal reasoning.

【Translator profile】

Zhang Liang (hysic)

Graduated from the School of Physics of Peking University, a nuclear safety engineer who loves machine learning and data analysis. He has translated "Python Data Processing", "Python Machine Learning Basic Tutorial", etc.

 

 book catalog

brief introduction

Part I Deep Learning Fundamentals

Chapter 1 What is Deep Learning 2

Chapter 2 Mathematical Foundations of Neural Networks 20

Chapter 3 Introduction to Neural Networks 43

Chapter 4 Fundamentals of Machine Learning 74

Part II Deep Learning Practice

Chapter 5 Deep Learning for Computer Vision 94

Chapter 6 Deep Learning for Text and Sequences 147

Chapter 7 Advanced Deep Learning Best Practices 196

Chapter 8 Generative Deep Learning 226

Chapter 9 Summary 265

Appendix A Installing Keras and its dependencies on Ubuntu 283

Appendix B Running Jupyter Notebooks on EC2 GPU Instances 287

 

 

 In order to make it easier for everyone to study and understand this book better!

The editor rummaged through the entire Internet and found the popular YouTube teaching video "Python Deep Learning"

Really getting started! Great Deep Learning and Machine Learning Tutorials for Beginners

 

 at last! ! !

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